Title : 
Neuro inspired computing with coupled relaxation oscillators
         
        
            Author : 
Datta, Soupayan ; Shukla, Nitin ; Cotter, Matthew ; Parihar, Abhinav ; Raychowdhury, Arijit
         
        
            Author_Institution : 
Dept. of Electr. Eng., Penn State Univ., University Park, PA, USA
         
        
        
        
        
        
            Abstract : 
Harnessing the computational capabilities of dynamical systems has attracted the attention of scientists and engineers form varied technical disciplines over decades. The time evolution of coupled, non-linear synchronous oscillatory systems has led to active research in understanding their dynamical properties and exploring their applications in brain-inspired, neuromorphic computational models. In this paper we present the realization of coupled and scalable relaxation-oscillators utilizing the metal-insulator-metal transition of vanadium-dioxide (VO2) thin films. We demonstrate the potential use of such a system in pattern recognition, as one possible computational model using such a system.
         
        
            Keywords : 
MIM devices; coupled circuits; relaxation oscillators; thin film circuits; vanadium compounds; VO2; brain-inspired neuromorphic computational model; coupled nonlinear synchronous oscillatory system; coupled relaxation oscillator; metal-insulator-metal transition; neuro inspired computing; pattern recognition; thin film; Conductivity; Couplings; Electric fields; Oscillators; Pattern matching; Resistance; Synchronization;
         
        
        
        
            Conference_Titel : 
Design Automation Conference (DAC), 2014 51st ACM/EDAC/IEEE
         
        
            Conference_Location : 
San Francisco, CA
         
        
        
            DOI : 
10.1145/2593069.2596685